| Fair and Explainable Depression Detection in Social Media V Adarsh, PA Kumar, V Lavanya, GR Gangadharan Information Processing & Management 60 (1), 103168, 2023 | 51 | 2023 |
| Multimodal classification of Alzheimer's disease and mild cognitive impairment using custom MKSCDDL kernel over CNN with transparent decision-making for explainable diagnosis V Adarsh, GR Gangadharan, U Fiore, P Zanetti Scientific Reports 14 (1), 1774, 2024 | 21 | 2024 |
| Mental stress detection from ultra-short heart rate variability using explainable graph convolutional network with network pruning and quantisation V Adarsh, GR Gangadharan Machine Learning, 1-28, 2024 | 6 | 2024 |
| Applying explainable artificial intelligence models for understanding depression among it workers V Adarsh, GR Gangadharan IT Professional 24 (5), 25-29, 2022 | 3 | 2022 |
| Unveiling the decision making process in Alzheimer’s disease diagnosis: A case-based counterfactual methodology for explainable deep learning A Valoor, GR Gangadharan Journal of Neuroscience Methods 413, 110318, 2025 | 1 | 2025 |
| Next-Generation Phosgene Detection: Convolutional Neural Network with Triphenylamine and N-Salicylaldehyde Probes for Enhanced Sensitivity and Bioimaging R AbhijnaKrishna, A Valoor, SP Wu, S Velmathi Industrial & Engineering Chemistry Research, 2024 | | 2024 |
| Environmentally Sustainable Detection of Arsenic using Convolutional Neural Networks and Imidazole-Based Organic Probes: Application in Food Samples and Arsenic Album R AbhijnaKrishna, A Valoor, S Velmathi Chemical Research in Toxicology 37 (12), 1934-1943, 2024 | | 2024 |
G. R. GangadharanProfessor, National Institute of Technology, Tiruchirappalli, IndiaGeverifieerd e-mailadres voor nitt.edu
